This project aims to train a neural network to predict the outcomes of tennis matches. It utilizes historical data on past matches, player statistics, betting odds and other relevant information to train the model.
To generate data run:
py data_generation/src/data_generator.py
Configuration is yaml based, project is integrated with wandb, templates are available in:
ml/config/run/
ml/config/sweep/
To run training simply run:
py tennis-betting/ml/src/training.py --config [CONFIG_PATH]
So far best run using most advantageous historical odds from dataset: https://wandb.ai/pg-pug-tennis-betting/tennis-betting/runs/yyslrq1n